Business AI Platform Support Engineer

This is a remote position.

Manning Global, an Internationally renowned staffing and managed services organization specializing in providing staffing solutions for leading corporations in AI, IT & Telecoms, Engineering, Digital Media, Automotive and Renewable Energy is recruiting for Business AI Platform Support Engineer on behalf of one of their blue-chip international clients to join their organization in India.

About the Role

We are seeking a dedicated Support Engineer to help our enterprise clients get full value from

the client Business AI Cloud deployments. You will act as the first line of technical
defense: diagnosing platform and agent issues, supporting configurations, and keeping

production AI environments running smoothly. This is an excellent opportunity for early-

career professionals to build deep hands-on expertise in enterprise AI platforms.

Key Responsibilities

• Serve as the primary technical point of contact for client issues across deployed Business AI Cloud environments and Business AI Suite agents (for example self-service, real-time guidance, and conversation insights agents).
  

• Troubleshoot, diagnose, and resolve configuration, integration, and user-access issues across the platform´s data, knowledge, model, and agentic layers.
  

• Monitor the health and performance of AI agents in production: answer quality, latency, API integration performance, and error rates.
  

• Assist with routine configuration of agent workflows, knowledge bases, dashboards, and reports.
  

• Escalate complex defects to senior delivery engineers or Uniphore support while keeping the client informed with clear, regular updates.
  

• Document recurring issues, write knowledge-base articles, and contribute to runbooks and continuous improvement of support processes.
  

Experience/Qualifications: 

• 0-5 years. Fresh graduates are welcome if they hold relevant cloud, data, or AI certifications (for example AWS, Azure, Google Cloud, Genesys, or NICE) or can show hands-on AI project work.
  

• 0 to 5 years of experience in IT support, SaaS platform administration, or technical customer service.
  

• Fresh graduates should hold relevant cloud or AI certifications (for example AWS, Azure, or Google Cloud) or show hands-on project work with AI tools.
  

• Working knowledge of REST APIs, webhooks, and web technologies, and comfort reading logs to trace issues.
  

• Basic understanding of how LLM-based applications work (prompts, knowledge retrieval, AI agents); experience with chatbots or contact-centre tools is a plus.
  

• Familiarity with contact-centre or CRM systems (for example Genesys, NICE, Five9, Salesforce, ServiceNow) is an advantage.
  

• Excellent problem-solving skills and a customer-first communication style.